Abstract: Prompt-based learning has demonstrated remarkable success in few-shot text classification, outperforming the traditional fine-tuning approach. This method transforms a text input into a ...

Abstract: The multi-label text classification task aims to tag a document with a series of labels. Previous studies usually treated labels as symbols without semantics and ignored the relation among ...

bert_DPCNN bert作为Embedding层，经过一个包含三个不同卷积特征提取器的region embedding层，可以看作输出的是embedding ...

Mistral AI has introduced Mistral OCR 4, a new optical character recognition (OCR) model designed for enterprise document ...

Mt. Juliet police are sounding the alarm when it comes to safety on e-bikes, motorcycles, and low-speed vehicles on public ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Overview:  Large language models may dominate headlines, but modern NLP tools remain essential for text processing, ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

This International Myeloma Working Group consensus updates the disease definition of multiple myeloma to include validated biomarkers in addition to existing requirements of attributable CRAB features ...

Mistral AI's OCR 4 delivers structured document intelligence with bounding boxes, confidence scores, and self-hosted ...

The Energy MLP Classification Standard (EMCS) categorizes energy infrastructure companies based on their primary source of ...